Bibliographic record
Abstract
The post-1945 decades are frequently remembered as a period of unionized prosperity.The French call these years "les trentes glorieuses," the British call them the "long boom," and American historian Jefferson Cowie has referred to this period as the "Great Exception" in a longer history of capitalism. 1 Our understanding of these years as exceptional is only possible, however, with the knowledge of what comes next.The wrenching economic changes of the 1970s, 1980s, and 1990s, which displaced millions of industrial workers across North America and western Europe, cast a long shadow in both directions.A growing number of historians, especially in the wake of the recent electoral breakthrough of right-wing populism in many countries, have therefore emphasized the centrality of deindustrialization to the history of the second half of the 20th century and the first two decades of the 21st. 2 By "deindustrialization," we don't just mean the economic process of mine, mill, and factory closures.One of the great strengths of the deindustrial framing is the way it places "social and community factors alongside economic and political considerations of industrial change." 3By deindustrialization, we are therefore speaking of a wider socioeconomic, political, and cultural process with no fixed end point.It is an unfinished history.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".